Digital Retail Shop Services in Cyber-Physical Retail System: A Case Study of Food Business

Food demand is expected to grow substantially as
a result of major factors such as population. It necessitates that
food manufacturers streamline their supply chain to
accommodate shorter product life cycles. To manage
sustainable food solutions and successful supply chain
management, cyber-physical systems at the supply chain level
attempt to challenge the integration of data from suppliers,
manufacturing, logistics, and retail. The implementation of Cyber-Physical Retail Systems (CPRS) was developed to sense and analyze dynamic market environments to modify sales and shop operation activities. The data were collected from several ERP modules and operational technology (OT) data. The shop CPS was managed using the OSIsoft-PI platform, which is based on service-oriented architecture (SOA) and then integrated into the Enterprise Cloud. The customer analytics service in CPRS was used as an example of a self-aware concept to notify the sales function and was implemented on the Azure platform. The results show that churn prediction in retail shops can be detected monthly for warning sales staff based on the customer object goal. The models that were used are RF, LR and GBC. The overall performance of GBC outperforms all measures with 78.05% accuracy. While the remaining were around 65%.